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Ai Accelerator Jobs (NOW HIRING)

Senior AI Accelerator

Nashville, TN · On-site

$65 - $87/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and build AI-assisted workflows using modern AI development tools and automation frameworks * Translate business requirements into reusable workflows, prompts, agents, skills, and integrations

Senior AI Accelerator

Nashville, TN · On-site

$65 - $87/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and build AI-assisted workflows using modern AI development tools and automation frameworks * Translate business requirements into reusable workflows, prompts, agents, skills, and integrations

Senior AI Accelerator

Nashville, TN · On-site

$65 - $87/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and build AI-assisted workflows using modern AI development tools and automation frameworks * Translate business requirements into reusable workflows, prompts, agents, skills, and integrations

We're building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work - not an occasional tool, but the foundation of how ...

Senior AI Engineer

Madison, NJ · On-site

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Senior AI Engineer

Princeton, NJ · On-site

$109K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Accelerator projects focus on the most challenging and highest-upside pharma-specific problems across R&D, Commercialization, Manufacturing, and Enabling Functions where critical context is buried ...

Showing results 21-40

Ai Accelerator information

See salary details

$38K

$52.8K

$66.5K

How much do ai accelerator jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai accelerator in the United States is $52,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.
More about Ai Accelerator jobs

What cities are hiring for Ai Accelerator jobs?

Cities with the most Ai Accelerator job openings:

What states have the most Ai Accelerator jobs?

States with the most job openings for Ai Accelerator jobs include:

Infographic showing various Ai Accelerator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $52,811 per year, or $25.4 per hour.

Hardware Engineer, AI Accelerator Module Validation

Meta

Menlo Park, CA • On-site

$173K - $245K/yr

Full-time

Posted 21 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies


Job description

The Hardware Design, Rack-scale Technology and Platforms (HDRTP) engineering team designs, develops, validates, and delivers the hardware modules and platforms that power Meta's AI and HPC infrastructure, deployed in data centers worldwide. Our work is published for industry adoption through the Open Compute Project Foundation. We are looking for a skilled AI Accelerator Module Validation Engineer to join our team. The Module Validation Engineer will own and drive module-specific test plans and testing in conjunction with module Electrical Engineers and Power Engineers. The role involves working in a cross-functional environment with multiple parallel programs on production paths. This role is critical to ensuring Meta's module and MTIA roadmap modules meet quality, reliability, and performance requirements before entering mass production. The engineer will partner with ODM partners to ensure vendor-owned testing meets Meta standards and will advance test methodologies across the accelerator module product portfolio.
Responsibilities
Own and drive module-specific validation test plans across the full product lifecycle (EVT, DVT, PVT, MP) in conjunction with module EE and Power Engineers
• Execute and oversee electrical, thermal, signal integrity, and power delivery validation testing for server and AI/HPC modules
• Advance test plans and methodologies across module products, ensuring comprehensive coverage of functional, performance, reliability, and compliance requirements
• Evaluate and ensure ODM/JDM partner (e.g., Quanta) testing plans, procedures, and results meet Meta's quality and reliability standards
• Ensure equipment, resources, and contingent workers are effectively allocated and driving closure for module testing milestones
• Develop, document, and maintain validation test procedures, specifications, and acceptance criteria
• Perform root cause analysis and failure analysis on test escapes and field returns, driving corrective actions to closure
• Collaborate with cross-functional teams including Mechanical, Thermal, Firmware, and Supply Chain to ensure holistic product readiness
• Define and track validation metrics and KPIs; provide regular status updates and risk assessments to program leadership
• Drive continuous improvement of test infrastructure, automation, and lab capabilities to support scaling across multiple parallel programs
• Partner with Data Center Site Operations and NPI teams to incorporate field feedback into validation requirements
Minimum Qualifications
• BS in Electrical Engineering, Computer Engineering, or a related technical discipline
• 8+ years of experience in hardware validation, test engineering, or product qualification in a server, networking, or high-performance computing environment
• 4+ years of experience developing and executing validation test plans covering electrical, thermal, and mechanical domains
• Knowledge of server module architectures including memory (DDR4/DDR5/HBM), high-speed I/O (PCIe, CXL, NVLink), and power delivery systems
• 4+ years of experience with lab equipment including oscilloscopes, logic analyzers, power analyzers, thermal chambers, and data acquisition systems
• Demonstrated expertise performing root cause analysis and driving corrective actions across cross-functional teams
• Strong project management skills with the ability to manage multiple concurrent validation programs
• Experience conveying technical findings in writing and verbally to engineering and non-engineering audiences (e.g., validation reports, test summaries, program reviews)
Preferred Qualifications
• MS in Electrical Engineering or a related field
• 8+ years of experience in hardware validation or test engineering for data center or AI/HPC products
• Experience working directly with ODM/JDM manufacturing partners in Asia (e.g., Quanta, Foxconn, Wistron)
• Familiarity with industry standards such as JEDEC, OCP, and Intel/AMD platform validation methodologies
• 8+ years of experience with environmental stress screening (ESS), HALT/HASS, and accelerated life testing
• 8+ years of experience with signal integrity and power integrity validation (eye diagram analysis, jitter measurement, PDN impedance characterization)
• Proficiency in scripting/automation (Python, Bash) for test automation and data analysis
• 5+ years of experience with ASIC/accelerator module validation (GPU, TPU, or custom AI accelerator modules)
• Knowledge of statistical methods for test data analysis (Cpk, GR&R, Weibull analysis)
• Prior experience scaling validation processes from prototype to high-volume manufacturing
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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